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Modern Python Essentials

Course

Modern Python Essentials

Modern Python Essentials

Learn the Python essentials you need for data analytics and data science — variables, data structures, CSVs, NumPy, Pandas, and visualization — without going too deep.

15 lessons · 4 hrs 16 min

Lessons

  1. 1

    Why Python for Data Work Today

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  2. 2

    Your Python Environment

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  3. 3

    REPL, Scripts, and Notebooks

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  4. 4

    Variables and Types for Data

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  5. 5

    Lists, Dicts, and Tuples

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  6. 6

    Conditions, Loops, and Comprehensions

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  7. 7

    Reading CSV Files

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  8. 8

    Cleaning Text Columns

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  9. 9

    Handling Missing Values

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  10. 10

    Functions for Reusable Analysis

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  11. 11

    NumPy Arrays: The Foundation

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  12. 12

    Pandas DataFrames: Load and Explore

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  13. 13

    Filter, Group, and Summarize

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  14. 14

    Quick Charts with Matplotlib

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  15. 15

    Where to Go Next

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